Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/anhnguyen0905/codex-mcp/exec-pythonnpx skills add anhnguyen0905/codex-mcp --skill exec-pythongit clone --depth 1 https://github.com/anhnguyen0905/codex-mcpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00035 | $0.00318 |
| Opus 5 | $0.00017 | $0.00159 |
| Sonnet 5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
exec-python scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Python Idioms (embed when project is Python)
Python standards:
- PEP 8 naming: snake_case functions/vars, PascalCase classes, UPPER_SNAKE constants.
- Type hints on all public functions (params + return); use modern syntax the project's Python
version supports (e.g. `list[str]`, `X | None`).
- Errors: raise specific exceptions, never bare `except:`; catch the narrowest type that you can
actually handle; chain with `raise ... from err` to preserve context.
- No mutable default arguments (def f(x=[]) bug) — use None + assignment.
- Prefer comprehensions/generators over manual loops when clearer; pathlib over os.path;
f-strings over % or .format; dataclasses (or the project's model library, e.g. pydantic) over
bare dicts for structured data.
- Context managers (with) for files, locks, connections — never rely on GC for cleanup.
- Respect the project's tooling: existing linter/formatter config (ruff/black), import order,
and dependency manager (uv/poetry/pip) — add deps only via its manifest.
- Tests: pytest style if the project uses it — plain asserts, fixtures over setUp, parametrize
for case tables.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 25 lines · 35 tokens per session scan A 59d523cfe88f
exec-python is a skill published in the GitHub repository anhnguyen0905/codex-mcp (3 stars, last pushed 10d ago), licensed MIT. It adds 35 tokens to every session and 318 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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